fofr/face-to-many 🔢🖼️❓📝 → 🖼️
About
Turn a face into 3D, emoji, pixel art, video game, claymation or toy

Example Output
Prompt:
"a person in a post apocalyptic war game"
Output

Performance Metrics
6.52s
Prediction Time
11.35s
Total Time
All Input Parameters
{ "image": "https://replicate.delivery/pbxt/KW7Getr2zD5ECxySdBZtLmPa322lNkXrpkMdKcmxeaDmq2b1/MTk4MTczMTkzNzI1Mjg5NjYy.webp", "style": "Clay", "prompt": "a person in a post apocalyptic war game", "lora_scale": 1, "negative_prompt": "", "prompt_strength": 4.5, "denoising_strength": 0.65, "instant_id_strength": 0.8, "control_depth_strength": 0.8 }
Input Parameters
- seed
- Fix the random seed for reproducibility
- image
- An image of a person to be converted
- style
- Style to convert to
- prompt
- lora_scale
- How strong the LoRA will be
- custom_lora_url
- URL to a Replicate custom LoRA. Must be in the format https://replicate.delivery/pbxt/[id]/trained_model.tar or https://pbxt.replicate.delivery/[id]/trained_model.tar
- negative_prompt
- Things you do not want in the image
- prompt_strength
- Strength of the prompt. This is the CFG scale, higher numbers lead to stronger prompt, lower numbers will keep more of a likeness to the original.
- denoising_strength
- How much of the original image to keep. 1 is the complete destruction of the original image, 0 is the original image
- instant_id_strength
- How strong the InstantID will be.
- control_depth_strength
- Strength of depth controlnet. The bigger this is, the more controlnet affects the output.
Output Schema
Output
Example Execution Logs
Random seed set to: 2815191178 Checking inputs ✅ /tmp/inputs/input.webp ==================================== Running workflow got prompt Executing node 22, title: Load Image, class type: LoadImage Executing node 67, title: 🔧 Image Resize, class type: ImageResize+ Executing node 3, title: LoRA Stacker, class type: LoRA Stacker Executing node 49, title: AIO Aux Preprocessor, class type: AIO_Preprocessor Executing node 28, title: Control Net Stacker, class type: Control Net Stacker Executing node 2, title: Efficient Loader, class type: Efficient Loader Requested to load SDXLClipModel Loading 1 new model ---------------------------------------- [36mEfficient Loader Models Cache:[0m Ckpt: [1] albedobaseXL_v13 Lora: [1] base_ckpt: albedobaseXL_v13 lora(mod,clip): ClayAnimationRedm(1.0,1.0) Executing node 41, title: Apply InstantID, class type: ApplyInstantID Executing node 51, title: VAE Encode, class type: VAEEncode Executing node 4, title: KSampler (Efficient), class type: KSampler (Efficient) Requested to load SDXL Requested to load ControlNet Requested to load ControlNet Loading 3 new models 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.37it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.37it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.36it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.37it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.36it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.36it/s] 41%|████ | 7/17 [00:01<00:01, 6.36it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.34it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.35it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.36it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.37it/s] 71%|███████ | 12/17 [00:01<00:00, 6.37it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.36it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.36it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.38it/s] 100%|██████████| 17/17 [00:02<00:00, 6.41it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] Executing node 5, title: Save Image, class type: SaveImage Prompt executed in 6.08 seconds outputs: {'4': {'images': []}, '5': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== Contents of /tmp/outputs: ComfyUI_00001_.png
Version Details
- Version ID
a07f252abbbd832009640b27f063ea52d87d7a23a185ca165bec23b5adc8deaf
- Version Created
- April 9, 2024